Sinho Chewi
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Gradient descent algorithms for Bures-Wasserstein barycenters
S Chewi, T Maunu, P Rigollet, AJ Stromme
Conference on Learning Theory 2020 125, 1276-1304, 2020
Exponential ergodicity of mirror-Langevin diffusions
S Chewi, TL Gouic, C Lu, T Maunu, P Rigollet, A Stromme
arXiv preprint arXiv:2005.09669, 2020
SVGD as a kernelized Wasserstein gradient flow of the chi-squared divergence
S Chewi, TL Gouic, C Lu, T Maunu, P Rigollet
arXiv preprint arXiv:2006.02509, 2020
Efficient constrained sampling via the mirror-Langevin algorithm
K Ahn, S Chewi
arXiv preprint arXiv:2010.16212, 2020
Matching observations to distributions: efficient estimation via sparsified Hungarian algorithm
S Chewi, F Yang, A Ghosh, A Parekh, K Ramchandran
2019 57th Annual Allerton Conference on Communication, Control, and …, 2019
A combinatorial proof of a formula of Biane and Chapuy
S Chewi, V Anantharam
The Electronic Journal of Combinatorics 25 (1), 12, 2018
Optimal dimension dependence of the Metropolis-Adjusted Langevin Algorithm
S Chewi, C Lu, K Ahn, X Cheng, TL Gouic, P Rigollet
arXiv preprint arXiv:2012.12810, 2020
Fast and Smooth Interpolation on Wasserstein Space
S Chewi, J Clancy, TL Gouic, P Rigollet, G Stepaniants, AJ Stromme
arXiv preprint arXiv:2010.12101, 2020
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